African forest animal classifier
Project implement the whole ML pipieline until deployment on local machine using FastAPI
The images used for the training were scrapped from Google followed by some preprocesssing.
At first an stand alone CNN was used for training but did not give promissing results.
In the second part, transfer learning was used and ResNet18 was transferred to the model which boost the accuracy to 93%